Java Developer – III

Job Title: Senior Java Developer with AI-Augmentation
Job Location: Irving TX or Basking Ridge NJ (Hybrid)

Description:
AgreeYa is a global Systems Integrator and is seeking an experienced Senior Java Developer (AI-Augmented Engineering) to join our growing team.

Overview:

• We are seeking a forward-thinking highly skilled Senior Java Developer with 5 to 7 years of experience to join our engineering team.
• In this role you will not only design build and maintain robust scalable enterprise applications but you will also champion the next generation of software development by deeply integrating AI collaboration tools into your daily workflow.
• The ideal candidate is an expert in the Java ecosystem who treats AI assistants such as GitHub Copilot Claude and Gemini as force multipliers.
• You should possess strong prompt engineering skills enabling you to accelerate development velocity optimize code quality automate testing and solve complex architectural challenges efficiently.

Key Responsibilities
Core Java Development: Design develop and maintain high-performance scalable and secure microservices and enterprise applications using modern Java versions (Java 17/21) and the Spring Boot framework.
AI-Assisted Engineering: Seamlessly integrate AI coding assistants (GitHub Copilot Claude Gemini) into the software development lifecycle (SDLC) to write clean code refactor legacy systems and generate documentation.
Advanced Prompt Engineering: Formulate test and refine advanced prompts (system-level few-shot and chained prompting) to extract high-context syntactically correct and secure code outputs from Large Language Models (LLMs).
Code Quality & Review: Oversee the review of both human-written and AI-generated code ensuring adherence to design patterns security standards performance benchmarks and company best practices.
Testing & Automation: Utilize AI tools to rapidly generate robust unit integration and regression test suites (using JUnit Mockito etc.) significantly improving code coverage.
Troubleshooting & Optimization: Leverage LLMs to expedite root-cause analysis of production bugs decipher complex stack traces and identify performance bottlenecks.
Continuous Learning: Stay at the forefront of evolving AI technologies and software engineering trends sharing insights and prompt libraries with the broader development team.

Required Skills & Qualifications
Technical Architecture & Java Ecosystem:

• Experience: 5 7 years of professional experience in enterprise software development using Java (Java 11 or higher Java 17 preferred).
• Frameworks: Extensive hands-on experience with Spring Boot Spring Cloud and Hibernate/JPA.
• Microservices: Strong understanding of microservices architecture RESTful API design and event-driven patterns.
• Databases: Proficiency with relational databases (e.g. PostgreSQL MySQL) and NoSQL solutions (e.g. MongoDB Redis).
• CI/CD & DevOps: Solid experience with Git Docker Kubernetes and building automated pipelines (Jenkins GitHub Actions or GitLab CI).

AI & Prompt Engineering Competencies:

• AI Tool Fluency: Daily operational experience using GitHub Copilot (or Copilot Chat) Claude and Gemini to accelerate development.
• Prompt Engineering Mastery: Demonstrated ability to construct precise prompts provide sufficient context and use specialized techniques to reduce AI hallucinations and maximize code relevance.
• Validation & Security: A critical mindset capable of verifying AI-generated logic for potential security vulnerabilities (such as OWASP Top 10 flaws) licensing risks and inefficiencies.

Soft Skills & Attributes:

• Critical Thinking: Strong analytical skills with the ability to question and validate AI-generated outputs rather than blindly accepting them.
• Adaptability: A growth mindset with an eagerness to adapt to rapidly changing AI tools and development paradigms.
• Collaboration & Communication: Ability to articulate technical requirements clearly to both human teammates and AI agents.

Preferred Qualifications:

• Experience building or integrating custom AI plugins or internal developer tools.
• Familiarity with cloud platforms (AWS GCP or Azure).
• Active contribution to open-source projects or a portfolio demonstrating creative use of AI in software development.

Education Required:

• Bachelors degree required

AgreeYa is a global systems integrator delivering competitive advantage for its customers through software solutions and services. Established in 1999 AgreeYa is headquartered in Folsom California with a global footprint and a team of more than 2200 staff across offices. AgreeYa works with 500 organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom Banking Financial Services & Insurance Healthcare Utility & Energy Technology Public sector Pharma & Biotech and others. Please visit us at for more information.

AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion gender identity sexual orientation national origin disability veteran status or other protected characteristics. Visit our website to learn about our Career & Culture.